Dataset Information

Applying Non-canonical Redox Cofactors in Fermentation Processes.

ABSTRACT: Fermentation processes are used to sustainably produce chemicals and as such contribute to the transition to a circular economy. The maximum theoretical yield of a conversion can only be approached if all electrons present in the substrate end up in the product. Control over the electrons is therefore crucial. However, electron transfer via redox cofactors results in a diffuse distribution of electrons over metabolism. To overcome this challenge, we propose to apply non-canonical redox cofactors (NRCs) in metabolic networks: cofactors that channel electrons exclusively from substrate to product, forming orthogonal circuits for electron transfer.

SUBMITTER: Weusthuis RA

PROVIDER: S-EPMC7479625 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Applying Non-canonical Redox Cofactors in Fermentation Processes.

Weusthuis Ruud A RA Folch Pauline L PL Pozo-Rodríguez Ana A Paul Caroline E CE

iScience 20200818 9

Fermentation processes are used to sustainably produce chemicals and as such contribute to the transition to a circular economy. The maximum theoretical yield of a conversion can only be approached if all electrons present in the substrate end up in the product. Control over the electrons is therefore crucial. However, electron transfer via redox cofactors results in a diffuse distribution of electrons over metabolism. To overcome this challenge, we propose to apply non-canonical redox cofactors ...[more]

PMID: 32891057

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Project description:BackgroundThe Janus kinase-signal transducer and activator of transcription (JAK/STAT) pathway has been well-characterized as a crucial signal transduction cascade that regulates vital biological responses including development, immunity and oncogenesis. Additionally to its canonical pathway that uses the phosphorylated form of the STAT transcription factor, recently the non-canonical pathway involving heterochromatin formation by unphosphorylated STAT was recently uncovered. Considering the significant role of the JAK/STAT pathway, we used the simple Drosophila system in which the non-canonical pathway was initially characterized, to compare putative canonical versus non-canonical transcriptional targets across the genome. We analyzed microarray expression patterns of wildtype, Jak gain- and loss-of-function mutants, as well as the Stat loss-of-function mutant during embryogenesis, since the contribution of the canonical signal transduction pathway has been well-characterized in these contexts. Previous studies have also demonstrated that Jak gain-of-function and Stat mutants counter heterochromatin silencing to de-repress target genes by the non-canonical pathway.ResultsCompared to canonical target genomic loci, non-canonical targets were significantly more associated with sites enriched with heterochromatin-related factors (p = 0.004). Furthermore, putative canonical and non-canonical transcriptional targets identified displayed some differences in biological pathways they regulate, as determined by Gene Ontology (GO) enrichment analyses. Canonical targets were enriched mainly with genes relevant to development and immunity, as expected, whereas the non-canonical target gene set mainly showed enrichment of genes for various metabolic responses and stress response, highlighting the possibility that some differences may exist between the two loci.ConclusionsCanonical and non-canonical JAK/STAT genes may regulate distinct and overlapping sets of genes and may perform specific overall functions in physiology. Further studies at different developmental stages, or using distinct tissues may identify additional targets and provide insight into which gene targets are unique to the canonical or non-canonical pathway.

Project description:AimsAccurate analysis of dinucleotide redox cofactors nicotinamide adenine dinucleotide phosphate reduced (NADPH), nicotinamide adenine dinucleotide phosphate (NADP+), nicotinamide adenine dinucleotide reduced (NADH), and nicotinamide adenine dinucleotide (NAD+) from biological samples is important to understanding cellular redox homeostasis. In this study, we aimed to develop a simple protocol for quenching metabolism and extracting NADPH that avoids interconversion among the reduced forms and the oxidized forms.ResultsWe compared seven different solvents for quenching and extraction of cultured mammalian cells and mouse tissues: a cold aqueous buffer commonly used in enzyme assays with and without detergent, hot aqueous buffer, and cold organic mixtures (80% methanol, buffered 75% acetonitrile, and acidic 40:40:20 acetonitrile:methanol:water with either 0.02 M or 0.1?M formic acid). Extracts were analyzed by liquid chromatography-mass spectrometry (LC-MS). To monitor the metabolite interconversion, cells were grown in 13C6-glucose medium, and unlabeled standards were spiked into the extraction solvents. Interconversion between the oxidized and reduced forms was substantial except for the enzyme assay buffer with detergent, 80% methanol and 40:40:20 acetonitrile:methanol:water, with the 0.1?M formic acid mix giving the least interconversion and best recoveries. Absolute NAD+, NADH, NADP+, and NADPH concentrations in cells and mouse tissues were measured with this approach.InnovationWe found that the interconversion between the reduced and oxidized forms during extraction is a major barrier to accurately measuring NADPH/NADP+ and NADH/NAD+ ratios. Such interconversion can be monitored by isotope labeling cells and spiking NAD(P)(H) standards.ConclusionExtraction with 40:40:20 acetonitrile:methanol:water with 0.1?M formic acid decreases interconversion and, therefore, is suitable for measurement of redox cofactor ratios using LC-MS. This solvent is also useful for general metabolomics. Samples should be neutralized immediately after extraction to avoid acid-catalyzed degradation. When LC-MS is not available and enzyme assays are accordingly used, inclusion of detergent in the aqueous extraction buffer reduces interconversion. Antioxid. Redox Signal. 28, 167-179.

Dataset Information

Applying Non-canonical Redox Cofactors in Fermentation Processes.

Publications

Applying Non-canonical Redox Cofactors in Fermentation Processes.

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